diff --git a/src/relax/op/tensor/manipulate.cc b/src/relax/op/tensor/manipulate.cc
index fb3141b14721..48cf570d0c44 100644
--- a/src/relax/op/tensor/manipulate.cc
+++ b/src/relax/op/tensor/manipulate.cc
@@ -1980,9 +1980,11 @@ InferLayoutOutput InferLayoutRepeat(
     existing_layout = LayoutDecision(InitialLayout(ndim));
   }
 
-  // When axis is not specified, the output is 1D (flattened)
+  // When axis is not specified, the output is the flattened input. Flattening is order-sensitive,
+  // so the input must be restored to its initial (logical) layout.
   if (!attrs->axis.has_value()) {
-    return InferLayoutOutput({existing_layout}, {InitialLayoutDecision(1)}, call->attrs);
+    return InferLayoutOutput({InitialLayoutDecision(ndim)}, {InitialLayoutDecision(1)},
+                             call->attrs);
   }
 
   // Transform the axis based on the layout
diff --git a/tests/python/relax/test_transform_convert_layout.py b/tests/python/relax/test_transform_convert_layout.py
index 5aa5cfc40a3e..e29aff5b21b2 100644
--- a/tests/python/relax/test_transform_convert_layout.py
+++ b/tests/python/relax/test_transform_convert_layout.py
@@ -5076,7 +5076,10 @@ def main(
                     out_layout="NHWC",
                     out_dtype="float32",
                 )
-                gv2: R.Tensor((5408,), dtype="float32") = R.repeat(gv, repeats=1)
+                lv2: R.Tensor((2, 4, 26, 26), dtype="float32") = R.permute_dims(
+                    gv, axes=[0, 3, 1, 2]
+                )
+                gv2: R.Tensor((5408,), dtype="float32") = R.repeat(lv2, repeats=1)
                 R.output(gv2)
             return gv2